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Subword symmetry in natural languages.
Olga Pelloni1, Rob van der Goot2, Peter Ranacher1
1URPP Language and Space, University of Zurich, Zurich, Switzerland.
Royal Society Open Science
|August 25, 2025
Summary
Natural language text exhibits symmetric patterns, particularly in how long words are split. This symmetry is consistent across different languages and segmentation methods, suggesting a universal linguistic principle.
Area of Science:
- Linguistics
- Computational Linguistics
- Evolutionary Biology
Background:
- Symmetry is prevalent in natural structures, influencing stability and selection.
- Natural language evolution is often compared to biological evolution.
- Symmetry is seldom explored in natural language studies.
Purpose of the Study:
- Investigate symmetric patterns in text data.
- Analyze subword unit lengths across various segmentation methods.
- Determine if natural language exhibits symmetry comparable to other natural phenomena.
Main Methods:
- Examined subword unit lengths in 32 diverse languages.
- Applied multiple automatic subword segmentation techniques.
- Analyzed word split patterns for symmetry.
Main Results:
- Long word splits demonstrate a tendency towards symmetry.
- Symmetric splits were observed irrespective of the segmentation method used.
- Certain automatic methods consistently produced symmetric splits across all word lengths.
Conclusions:
- Natural language structure can be characterized by symmetry.
- This finding bridges linguistic analysis with natural structural patterns.
- Opens new avenues for empirical research into text data as a natural structure.
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